With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

BACKGROUND: Medical informatics accumulated vast amounts of data for clinical diagnosis and treatment. However, limited access to follow-up data and the difficulty in integrating data across diverse platforms continue to pose significant barriers to clinical research progress. In response, our research team has embarked on the development of a specialized clinical research database for cardiology, thereby establishing a comprehensive digital platform that facilitates both clinical decision-making and research endeavors. METHODS: The database incorporated actual clinical data from patients who received treatment at the Cardiovascular Medicine Department of Chinese PLA General Hospital from 2012 to 2021. It included comprehensive data on patients' basic information, medical history, non-invasive imaging studies, laboratory test results, as well as peri-procedural information related to interventional surgeries, extracted from the Hospital Information System. Additionally, an innovative artificial intelligence (AI)-powered interactive follow-up system had been developed, ensuring that nearly all myocardial infarction patients received at least one post-discharge follow-up, thereby achieving comprehensive data management throughout the entire care continuum for high-risk patients. RESULTS: This database integrates extensive cross-sectional and longitudinal patient data, with a focus on higher-risk acute coronary syndrome patients. It achieves the integration of structured and unstructured clinical data, while innovatively incorporating AI and automatic speech recognition technologies to enhance data integration and workflow efficiency. It creates a comprehensive patient view, thereby improving diagnostic and follow-up quality, and provides high-quality data to support clinical research. Despite limitations in unstructured data standardization and biological sample integrity, the database's development is accompanied by ongoing optimization efforts. CONCLUSION The cardiovascular specialty clinical database is a comprehensive digital archive integrating clinical treatment and research, which facilitates the digital and intelligent transformation of clinical diagnosis and treatment processes. It supports clinical decision-making and offers data support and potential research directions for the specialized management of cardiovascular diseases.

OBJECTIVES: To reprogram human placental fibroblasts (HPFs) into chemically induced epithelioid-like cells (ciEP-Ls) using a combination of small-molecule compounds. METHODS: HPFs cultured under normoxic conditions were identified using immunofluorescence assay, PCR and chromosomal karyotyping. Under hypoxic conditions (37 ℃, 5% O₂), HPFs were cultured in a medium containing small-molecule compounds C6TSEDRVAJZ (CHIR99021, 616452, TTNPB, SAG, EPZ5676, DZNep, Ruxolitinib, VTP50469, Afuresertib, JNK-IN-8, and EZM0414), and the cell morphology was observed daily. The expression levels of epithelial cell markers in the induced cells were detected by immunofluorescence, Western blotting and PCR. Chromosomal karyotyping of the induced cells was performed and the induction efficiency was calculated. RESULTS: Before induction, HPFs showed positive expressions of fibroblast surface markers CD34 and vimentin and were negative for epithelial surface markers. PCR results showed high expressions of fibroblast-specific genes S100A4 and COL1A1 in HPFs with a normal human diploid karyotype. After one day of induction, the HPFs underwent morphological changes from a multinodular spindle shape to a round or polygonal shape, which was morphologically characteristic of ciEP-Ls. On day 4 of induction, the cells exhibited high expressions of the epithelial cell markers E-cadherin and Lin28A. RT-qPCR results also showed that the cells expressed the epithelial markers Smad3, GLi3, PAX8, WT1, KRT19, and KRT18 with significantly down-regulated expressions of all the fibroblast surface markers and a normal human diploid karyotype. The reprogramming efficiency of HPFs into ciEP-Ls ranged from (64.53±2.8)% to (68.10±3.6)%. CONCLUSIONS The small-molecule compound combination C6TSEDRVAJZ is capable of inducing HPFs into ciEP-Ls under hypoxic conditions with a high induction efficiency.
Humans ; Fibroblasts/drug effects* ; Pregnancy ; Female ; Cell Differentiation/drug effects* ; Pyrimidines/pharmacology* ; Placenta/cytology* ; Cells, Cultured ; Pyridines/pharmacology* ; Pyrazoles/pharmacology* ; Epithelial Cells/cytology*

Glutamine provides carbon and nitrogen to support the proliferation of cancer cells. However, the precise reason why cancer cells are particularly dependent on glutamine remains unclear. In this study, we report that glutamine modulates the tumor suppressor F-box and WD repeat domain-containing 7 (FBW7) to promote cancer cell proliferation and survival. Specifically, lysine 604 (K604) in the sixth of the 7 substrate-recruiting WD repeats of FBW7 undergoes glutaminylation (Gln-K604) by glutaminyl tRNA synthetase. Gln-K604 inhibits SCFFBW7-mediated degradation of c-Myc and Mcl-1, enhances glutamine utilization, and stimulates nucleotide and DNA biosynthesis through the activation of c-Myc. Additionally, Gln-K604 promotes resistance to apoptosis by activating Mcl-1. In contrast, SIRT1 deglutaminylates Gln-K604, thereby reversing its effects. Cancer cells lacking Gln-K604 exhibit overexpression of c-Myc and Mcl-1 and display resistance to chemotherapy-induced apoptosis. Silencing both c-MYC and MCL-1 in these cells sensitizes them to chemotherapy. These findings indicate that the glutamine-mediated signal via Gln-K604 is a key driver of cancer progression and suggest potential strategies for targeted cancer therapies based on varying Gln-K604 status.
Glutamine/metabolism* ; Myeloid Cell Leukemia Sequence 1 Protein/genetics* ; Humans ; Proto-Oncogene Proteins c-myc/genetics* ; Cell Proliferation ; Signal Transduction ; Neoplasms/pathology* ; F-Box-WD Repeat-Containing Protein 7/genetics* ; Cell Survival ; Cell Line, Tumor ; Apoptosis

OBJECTIVE: To explore the correlation between single nucleotide polymorphisms (SNPs) of ARID5B gene and the risk of acute lymphoblastic leukemia (ALL) and minimal residual disease (MRD) in children of Hui and Han nationality in Ningxia. METHODS: In this case-control study, 54 ALL children and control group with matched age, sex and nationality were detected for the polymorphism of ARID5B gene using fluorescence resonance energy transfer technique, and the susceptibility of different ALL genotypes and their correlation with MRD were analyzed. RESULTS: There were no significant differences in genotype and allele frequency of rs10994982, rs7089424, rs10740055, rs7073837, rs4245595 and rs7090445 between the two groups (P >0.05). At the locus of rs10821936, the frequencies of T/T genotype and T allele in ALL group were significantly higher than those in the control group (both P < 0.05). The C/C genotype of ARID5B gene SNP rs10821936 was a risk factor for early MRD positive in ALL children ( P < 0.05). CONCLUSION ARID5B gene SNP rs10821936 is related to the development of childhood ALL and MRD.
Humans ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/genetics* ; Polymorphism, Single Nucleotide ; Case-Control Studies ; Neoplasm, Residual/genetics* ; DNA-Binding Proteins/genetics* ; Transcription Factors/genetics* ; Genotype ; Genetic Predisposition to Disease ; Gene Frequency ; Child ; Male ; Female ; Alleles ; Risk Factors ; Child, Preschool

OBJECTIVE: To explore and quantify the association of hot night exposure during the sperm development period (0-90 lag days) with semen quality. METHODS: A total of 6,640 male sperm donors from 6 human sperm banks in China during 2014-2020 were recruited in this multicenter study. Two indices (i.e., hot night excess [HNE] and hot night duration [HND]) were used to estimate the heat intensity and duration during nighttime. Linear mixed models were used to examine the association between hot nights and semen quality parameters. RESULTS: The exposure-response relationship revealed that HNE and HND during 0-90 days before semen collection had a significantly inverse association with sperm motility. Specifically, a 1 °C increase in HNE was associated with decreased sperm progressive motility of 0.0090 (95% confidence interval [ CI]: -0.0147, -0.0033) and decreased total motility of 0.0094 (95% CI: -0.0160, -0.0029). HND was significantly associated with reduced sperm progressive motility and total motility of 0.0021 (95% CI: -0.0040, -0.0003) and 0.0023 (95% CI: -0.0043, -0.0002), respectively. Consistent results were observed at different temperature thresholds on hot nights. CONCLUSION Our findings highlight the need to mitigate nocturnal heat exposure during spermatogenesis to maintain optimal semen quality.
Humans ; Male ; Semen Analysis ; Adult ; Sperm Motility ; Hot Temperature/adverse effects* ; China ; Middle Aged ; Spermatozoa/physiology* ; Young Adult

Based on the α7 nicotinic acetylcholine receptor(α7nAChR), this study examined how tetrahydropalmatine(THP) affected BV2 microglia exposed to lipopolysaccharide(LPS), aiming to clarify the possible mechanism underlying the anti-depression effect of THP from the perspectives of preventing inflammation and regulating polarization. First, after molecular docking and determination of the content of Corydalis saxicola Bunting total alkaloids, THP was initially identified as a possible anti-depression component. The BV2 microglia model of inflammation was established with LPS. BV2 microglia were allocated into a normal group, a model group, low-and high-dose(20 and 40 μmol·L~(-1), respectively) THP groups, and a THP(20 μmol·L~(-1))+α7nAChR-specific antagonist MLA(1 μmol·L~(-1)) group. The CCK-8 assay was used to screen the safe concentration of THP. A light microscope was used to examine the morphology of the cells. Western blot and immunofluorescence were used to determine the expression of α7nAChR. qRT-PCR was performed to determine the mRNA levels of inducible nitric oxide synthase(iNOS), cluster of differentiation 86(CD86), suppressor of cytokine signaling 3(SOCS3), arginase-1(Arg-1), cluster of differentiation 206(CD206), tumor necrosis factor(TNF)-α, interleukin(IL)-6, and IL-1β. Enzyme-linked immunosorbent assay(ELISA) was employed to measure the levels of TNF-α, IL-6, and IL-1β in the cell supernatant. The experimental results showed that THP at concentrations of 40 μmol·L~(-1) and below had no effect on BV2 microglia. THP improved the morphology of BV2 microglia, significantly up-regulated the protein level of α7nAChR, significantly down-regulated the mRNA levels of iNOS, CD86, SOCS3, TNF-α, IL-6, and IL-1β, significantly up-regulated the mRNA levels of Arg-1 and CD206, and dramatically lowered the levels of TNF-α, IL-6, and IL-1β in the cell supernatant. However, the antagonist MLA abolished the above-mentioned ameliorative effects of THP on LPS-treated BV2 microglia. As demonstrated by the aforementioned findings, THP protected LPS-treated BV2 microglia by regulating the M1/M2 polarization and preventing inflammation, which might be connected to the regulation of α7nAChR on BV2 microglia.
Berberine Alkaloids/chemistry* ; alpha7 Nicotinic Acetylcholine Receptor/chemistry* ; Microglia/metabolism* ; Mice ; Animals ; Cell Line ; Corydalis/chemistry* ; Humans ; Molecular Docking Simulation ; Inflammation/drug therapy* ; Nitric Oxide Synthase Type II/immunology* ; Tumor Necrosis Factor-alpha/immunology*

Traditional Chinese medicine(TCM) is the pillar for the development of motherland medicine, and animal medicine has a long history of application in China, characterized by wide resources, strong activity, definite efficacy, and great benefits. It has significant potential and important status in the consumption market of raw materials of TCM. In the context of global climate change, farming system alterations, and low renewability, the depletion of wild medicinal animal resources has accelerated. Accordingly, the conservation and sustainable utilization of wild resources of animal medicinal materials has become a problem that garners increasing attention and urgently needs to be solved. This paper summarizes the current situation of domestic and foreign medicinal animal breeding and research progress in industrial application in recent years and points out the issues related to standardized breeding, germplasm selection and breeding, and quality evaluation standards for medicinal animals. Furthermore, this paper discusses standardized breeding, quality standards, resource protection and utilization, and the search for alternative resources for rare and endangered medicinal animals. It proposes that researchers should systematically carry out in-depth basic research on animal medicine, improve the breeding scale and level of medicinal animals, employ modern technology to enhance the quality standards of medicinal materials, and strengthen the research and development of alternative resources. This approach aims to effectively address the relationship between protection and utilization and make a significant contribution to the sustainable development of medicinal animal resources and the animal-based Chinese medicinal material industry.
Animals ; Breeding ; China ; Medicine, Chinese Traditional ; Conservation of Natural Resources

Objective:To establish a liquid chromatography tandem mass spectrometry (LC-MS/MS) method for accurate determination of plasma Lyso-GL-3 concentration.Method:Solid phase extraction technology was used to process plasma samples, and under positive ion mode and multiple reaction monitoring (MRM) conditions, LC-MS/MS was used to determine the concentration of Lyso-GL-3. The linear range, detection and quantification limits, accuracy, precision, matrix effect, carrier effect of the method, and plasma sample stability were validated. And the accuracy of Lyso-GL-3 positive patients was compared by combining enzymatic and genetic testing results.Result:Lyso-GL-3 had good linearity in the range of 1.25-400 nmol/L. The detection limit and quantification limit were 0.15 nmol/L and 0.50 nmol/L, respectively. The spiked recovery rate was 88.78%-108.96%. The coefficient of variation ( CV) for intra batch precision, inter batch precision, and matrix effect were all less than 15%, the result of carrier effect was 0.55%. Plasma samples could be stably stored for 30 days under refrigeration conditions. The clinical conformity of the patient was 100%. Conclusion:The established LC-MS/MS detection method for plasma Lyso-GL-3 concentration takes 2.5 minutes, which is simple, fast, accurate, and reliable.